Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 57,921 to 57,930 of 227,388 articles

An integrative clinical and bioinformatic analysis identifies MicroRNAs as biomarkers of ischemic stroke severity.

Scientific reports
Identifying reliable circulating biomarkers is crucial for improving the diagnosis and risk stratification of patients with ischemic stroke. In this study, we evaluated several whole-blood circulating miRNAs (miR-106b-5p, miR-16-5p, miR-15b-5p, let-7... read more 

Dipole-Driven Charge Trapping in Monolayer Janus MoSSe for Ultrathin Nonvolatile Memory Devices.

Nano-micro letters
The continued scaling of flash memory technologies faces challenges such as limited operation speed, poor data retention, and interface defects inherent to conventional three-dimensional architectures. Two-dimensional (2D) materials, with van der Waa... read more 

[Current status and future perspectives of endoscopic surgery for cervical radiculopathy].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Cervical radiculopathy is one of the common degenerative disorders encountered in spinal surgery. With the continuous advancement of surgical instruments and techniques, spinal surgery has entered the era of "visualized minimally invasive treatment."... read more 

Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.

Diagnostic and interventional radiology (Ankara, Turkey)
Artificial intelligence (AI) is entering routine radiology practice, but most studies evaluate algorithms in isolation rather than their interaction with radiologists in clinical workflows. This narrative review summarizes current knowledge on human-... read more 

Advancing density functional tight-binding method for large organic molecules through equivariant neural networks.

Physical chemistry chemical physics : PCCP
Semi-empirical quantum-mechanical (QM) methods have become valuable tools for studying complex (bio)molecular systems due to their balance between computational efficiency and accuracy. A key aspect of these methods is their parameterization, which n... read more 

Increasing use of generative artificial intelligence by teenagers.

The British journal of psychiatry : the journal of mental science
The use of Generative Artificial Intelligence (GenAI) by teenagers is increasing rapidly. GenAI is a form of artificial intelligence that creates new text, images, video and audio, using models based on huge amounts of training data. However, using G... read more 

Machine learning and AI empowering metal-organic frameworks: synthesis, performance prediction and therapeutic application.

Dalton transactions (Cambridge, England : 2003)
Machine learning (ML), a subset of artificial intelligence (AI), has emerged as a powerful tool to address the bottlenecks in metal-organic framework (MOF) research. With the exponential growth of structural libraries rendering traditional trial-and-... read more 

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Dalton transactions (Cambridge, England : 2003)
Food spoilage arising from protein degradation and microbial activities leads to the release of biogenic amines (BAs) and volatile amines (VAs), which compromise its quality and pose health hazards. Conventional chromatographic techniques for monitor... read more 

Angioimmunoblastic T-cell lymphoma with lymphomatous effusion: Diagnostic challenges and cytology-based approaches.

Histology and histopathology
Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor prognosis. Lymphomatous serous effusion, defined as the presence of malignant lymphoma cells in the pleural, pericardial, or peritoneal fluid, is a rare... read more